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1 Ergebnisse
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Performance deterioration of deep learning models after cli..:
Wang, Biling
;
Dohopolski, Michael
;
Bai, Ti
...
Machine Learning: Science and Technology. 5 (2024) 2 - p. 025077 , 2024
Link:
https://doi.org/10.1088/2632-2153/ad580f
RT Journal T1 <Title>Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1088_2632-2153_ad580f&Exemplar=1&LAN=DE A1 Wang, Biling A1 Dohopolski, Michael A1 Bai, Ti A1 Wu, Junjie A1 Hannan, Raquibul A1 Desai, Neil A1 Garant, Aurelie A1 Yang, Daniel A1 Nguyen, Dan A1 Lin, Mu-Han A1 Timmerman, Robert A1 Wang, Xinlei A1 Jiang, Steve B PB IOP Publishing YR 2024 SN 2632-2153 JF Machine Learning: Science and Technology VO 5 IS 2 SP 025077 LK http://dx.doi.org/https://doi.org/10.1088/2632-2153/ad580f DO https://doi.org/10.1088/2632-2153/ad580f SF ELIB - SuUB Bremen
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